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What do you want? This is the question that almost every commercial organization on the planet thinks they have an answer to, but do they? Figuring out what people want is essentially a process of reverse engineering human needs, desire, and preference. It turns out that hackers are particularly adept at reverse engineering, so what happened when we applied our skills to reverse engineering what you, and everyone else, wants?

This talk will describe how we constructed a model for how the human mind decides what it wants, and then customize this model to imitate particular individuals, and thus anticipate specifically what they want. I will demonstrate the effectiveness of this approach on guessing how much particular users will like particular movies, based on the feedback they've given to a popular movie rental website. I'll also discuss flaws in how collaborative filters are designed, and measured, and explain why our approach is an improvement.

This talk will discuss sophisticated ideas in machine learning and artificial intelligence, but no background in these topics will be required for attendees.

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